RAG Chatbot

About the Project

RAG Chatbot is a retrieval-augmented generation chatbot that provides answers based on the content of provided documents. The chatbot uses a vector database to store and retrieve relevant information from the documents, allowing it to generate accurate and contextually relevant responses. In this project I learned about vector databases and how to implement them in a chatbot application. I constrained the document retrieval augmentation to be per session.